Effect of disease severity on the performance of cirrus spectral-domain OCT for glaucoma diagnosis

Investigative Ophthalmology and Visual Science

Volumn 51, Issue 8, 2010, Pages 4104-4109

  Leite, Mauro T ^a,b   Zangwill, Linda M ^a   Weinreb, Robert N ^a   Rao, Harsha L ^a,c   Alencar, Luciana M ^a,d   Sample, Pamela A ^a   Medeiros, Felipe A ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b FEDERAL UNIVERSITY OF SÃO PAULO   (Brazil)

^c L V PRASAD EYE INSTITUTE   (India)

^d UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; CASE CONTROL STUDY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DISEASE SEVERITY; FALSE POSITIVE RESULT; FEMALE; GLAUCOMA; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; OBSERVATIONAL STUDY; OPTIC DISK; OPTICAL COHERENCE TOMOGRAPHY; PERIMETRY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RETINA NERVE CELL; SENSITIVITY AND SPECIFICITY; SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY; VISUAL FIELD; GONIOSCOPY; HOSPITALIZATION; INSTRUMENTATION; MIDDLE AGED; NERVE FIBER; OPEN ANGLE GLAUCOMA; PATHOLOGY; REPRODUCIBILITY; RETINA GANGLION CELL; STANDARD;

AGED; AREA UNDER CURVE; AXONS; CASE-CONTROL STUDIES; FEMALE; GLAUCOMA, OPEN-ANGLE; GONIOSCOPY; HUMANS; MALE; MIDDLE AGED; OPTIC DISK; PERIMETRY; REPRODUCIBILITY OF RESULTS; RETINAL GANGLION CELLS; ROC CURVE; SENSITIVITY AND SPECIFICITY; SEVERITY OF ILLNESS INDEX; TOMOGRAPHY, OPTICAL COHERENCE; VISUAL FIELDS;

EID: 77955877091     PISSN: 01460404     EISSN: 15525783     Source Type: Journal    
DOI: 10.1167/iovs.09-4716     Document Type: Article

References (24)

1. Jaffe GJ, Caprioli J. Optical coherence tomography to detect and manage retinal disease and glaucoma. Am J Ophthalmol. 2004; 137:156-169.
2. Medeiros FA, Zangwill LM, Bowd C, Vessani RM, Susanna R Jr, Weinreb RN. Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography. Am J Ophthalmol. 2005;139:44-55.
3. Wollstein G, Ishikawa H, Wang J, Beaton SA, Schuman JS. Comparison of three optical coherence tomography scanning areas for detection of glaucomatous damage. Am J Ophthalmol. 2005;139: 39-43.
4. Leung CK, Cheung CY, Weinreb RN, et al. Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: a variability and diagnostic performance study. Ophthalmology. 2009;116:1257-1263, e1251-e1252.
5. Sung KR, Kim DY, Park SB, Kook MS. Comparison of retinal nerve fiber layer thickness measured by Cirrus HD and Stratus optical coherence tomography. Ophthalmology. 2009;116:1264-1270, e1261.
6. Knight OJ, Chang RT, Feuer WJ, Budenz DL. Comparison of retinal nerve fiber layer measurements using time domain and spectral domain optical coherent tomography. Ophthalmology. 2009;116: 1271-1277.
7. Bengtsson B, Heijl A. A visual field index for calculation of glaucoma rate of progression. Am J Ophthalmol. 2008;145:343-353.
8. Medeiros FA, Sample PA, Zangwill LM, Liebmann JM, Girkin CA, Weinreb RN. A statistical approach to the evaluation of covariate effects on the receiver operating characteristic curves of diagnostic tests in glaucoma. Invest Ophthalmol Vis Sci. 2006;47:2520-2527.
9. Pepe MS. Three approaches to regression analysis of receiver operating characteristic curves for continuous test results. Biometrics. 1998;54:124-135.
10. Parikh RS, Parikh SR, Sekhar GC, Prabakaran S, Babu JG, Thomas R. Normal age-related decay of retinal nerve fiber layer thickness. Ophthalmology. 2007;114:921-926.
11. Zhou X-H, Obuchowski NA, McClish DK. Analysis of correlated ROC Data. In: Zhou X-H, Obuchowski NA, McClish DK, eds. Statistical Methods in Diagnostic Medicine. New York: John Wiley & Sons, Inc.; 2002:274-306.
12. Glynn RJ, Rosner B. Accounting for the correlation between fellow eyes in regression analysis. Arch Ophthalmol. 1992;110:381-387.
13. Alonzo TA, Pepe MS. Distribution-free ROC analysis using binary regression techniques. Biostatistics. 2002;3:421-432.
14. Lachs MS, Nachamkin I, Edelstein PH, Goldman J, Feinstein AR, Schwartz JS. Spectrum bias in the evaluation of diagnostic tests: lessons from the rapid dipstick test for urinary tract infection. Ann Intern Med. 1992;117:135-140.
15. Moons KG, van Es GA, Deckers JW, Habbema JD, Grobbee DE. Limitations of sensitivity, specificity, likelihood ratio, and bayes' theorem in assessing diagnostic probabilities: a clinical example. Epidemiology. 1997;8:12-17.
16. Medeiros FA, Vizzeri G, Zangwill LM, Alencar LM, Sample PA, Weinreb RN. Comparison of retinal nerve fiber layer and optic disc imaging for diagnosing glaucoma in patients suspected of having the disease. Ophthalmology. 2008;115:1340-1346.
17. Leisenring W, Pepe MS, Longton G. A marginal regression modeling framework for evaluating medical diagnostic tests. Stat Med. 1997;16:1263-1281.
18. Stroux A, Korth M, Junemann A, et al. A statistical model for the evaluation of sensory tests in glaucoma, depending on optic disc damage. Invest Ophthalmol Vis Sci. 2003;44:2879-2884.
19. Medeiros FA, Bowd C, Zangwill LM, Patel C, Weinreb RN. Detection of glaucoma using scanning laser polarimetry with enhanced corneal compensation. Invest Ophthalmol Vis Sci. 2007;48:3146-3153.
20. Cheung CY, Leung CK, Lin D, Pang CP, Lam DS. Relationship between retinal nerve fiber layer measurement and signal strength in optical coherence tomography. Ophthalmology. 2008;115: 1347-1351, e1341-e1342.
21. Sung KR, Wollstein G, Schuman JS, et al. Scan quality effect on glaucoma discrimination by glaucoma imaging devices. Br J Ophthalmol. 2009;93:1580-1584.
22. Wu Z, Huang J, Dustin L, Sadda SR. Signal strength is an important determinant of accuracy of nerve fiber layer thickness measurement by optical coherence tomography. J Glaucoma. 2009;18: 213-216.
23. Blumenthal EZ, Sapir-Pichhadze R. Misleading statistical calculations in far-advanced glaucomatous visual field loss. Ophthalmology. 2003;110:196-200.
24. Mills RP, Budenz DL, Lee PP, et al. Categorizing the stage of glaucoma from pre-diagnosis to end-stage disease. Am J Ophthalmol. 2006;141:24-30.